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SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures.

K. Xu, R. Kobus, Y. Chan, P. Gao, X. Meng, Y. Wei, B. Schmidt, и W. Liu. ICPP, стр. 39:1-39:10. ACM, (2018)

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Meng Meng

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Matthias Meng

Nan Meng

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The shape coordinates system in visualization space.Z. Jiang, S. Cheng, R. Xin, и X. Meng. VINCI, стр. 18-21. ACM, (2012)Air pollution data visualization based on the shape of a tree.X. Bi, Z. Jiang, S. Cheng, и X. Meng. VINCI, стр. 115-116. ACM, (2013)A Reinforcement Learning Based Workflow Application Scheduling Approach in Dynamic Cloud Environment.Y. Wei, D. Kudenko, S. Liu, L. Pan, L. Wu, и X. Meng. CollaborateCom, том 252 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 120-131. Springer, (2017)A Reinforcement Learning Based Auto-Scaling Approach for SaaS Providers in Dynamic Cloud EnvironmentY. Wei, D. Kudenko, S. Liu, L. Pan, L. Wu, и X. Meng. Mathematical Problems in Engineering, (2019)Silhouette Smoothing for Real-Time Rendering of Mesh Surfaces.L. Wang, C. Tu, W. Wang, X. Meng, B. Chan, и D. Yan. IEEE Trans. Vis. Comput. Graph., 14 (3): 640-652 (2008)QoS Optimization of Service Clouds Serving Pleasingly Parallel Jobs.X. Li, L. Pan, S. Liu, Y. Shi, и X. Meng. ICSOC, том 11236 из Lecture Notes in Computer Science, стр. 560-575. Springer, (2018)Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification.Y. Wang, X. Li, H. Ma, Z. Qi, X. Meng, и L. Meng. CICAI (1), том 13604 из Lecture Notes in Computer Science, стр. 572-583. Springer, (2022)Scheduling mobile collaborating workforce for multiple urgent events.Y. Sun, D. Chiu, B. Gong, X. Meng, и P. Zhang. J. Netw. Comput. Appl., 35 (1): 156-163 (2012)Profit Based Two-Step Job Scheduling in Clouds.S. Zhang, L. Pan, S. Liu, L. Wu, и X. Meng. WAIM (2), том 9659 из Lecture Notes in Computer Science, стр. 481-492. Springer, (2016)Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data.Z. Qi, L. Meng, Z. Chen, H. Hu, H. Lin, и X. Meng. ACM Multimedia, стр. 3099-3107. ACM, (2023)

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